Lead Scoring
by mbfinotti2dedb3934ca7MITListed Oct 8, 2026Updated Oct 8, 2026Repository updated 3 weeks ago
Design, validate, and recalibrate a lead scoring model - fit and engagement signals, weighting, negative scoring and exclusions, decay, MQL/PQL threshold and tier setting, backtesting against closed-won/closed-lost outcomes, and governance; also diagnoses an existing broken model. Use whenever the user mentions lead scoring, an MQL threshold, fit vs engagement scoring, product-qualified leads, score decay, "score my leads", "our lead scores are wrong", "sales rejects our MQLs", or "too many junk MQLs" - even if they never say "scoring model". Covers B2B sales-led and B2C/PLG, rules-based design and predictive readiness. Do NOT use for assigning scored leads to reps - use mbfinotti/revops-skills@lead-routing instead.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| evals/evals.json | 30.1 KB | application/json |
| references/examples.md | 5.4 KB | text/markdown |
| references/signal-taxonomy.md | 11 KB | text/markdown |
| references/validation-and-kpis.md | 7.1 KB | text/markdown |
| references/weighting-and-thresholds.md | 9.2 KB | text/markdown |
| SKILL.md | 15.9 KB | text/markdown |
Source and attribution
Source:mbfinotti/revops-skillsinskills/lead-scoringat commit2dedb39
License: MIT
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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